Machine Unlearning on Adult (Utility and Privacy)
87.03Utility (Accuracy)SISA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SISATiming=After, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 87.03 | 0.4967 | 0.83 | |
| SISATiming=Before, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 87.01 | 0.5438 | 2.43 | |
| RetrainTiming=After, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 87 | 0.4944 | 0.89 | |
| RetrainTiming=Before, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 86.88 | 0.5792 | 4.92 | |
| EUPG (k=30)Timing=After, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 86.45 | 0.5042 | 1.21 | |
| EUPG (k=30)Timing=Before, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 86.44 | 0.5072 | 1.31 | |
| EUPG (ϵ=1, δ=0)Timing=After, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 85.39 | 0.502 | 1.06 | |
| EUPG (ϵ=1, δ=0)Timing=Before, Model=XGBoost, Forget ratio=5%, Fine-tuning epochs=52025.07 | 85.37 | 0.5083 | 1.14 |